A hierarchical geometry-to-semantic fusion GNN framework for earth surface anomalies detection

GAO Zhi; HU Aohan; CHEN Boan; LU Yao; GE Jiachen

doi:10.11834/jrs.20243301

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A hierarchical geometry-to-semantic fusion GNN framework for earth surface anomalies detection
- role：First author第一作者
- Affiliation：
  School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
- Email：gaozhinus@gmail.com
- Introduction：高智，研究方向为计算机视觉、机器学习和遥感影像智能解译。E-mail： gaozhinus@gmail.com
GAO Zhi
1 * ,
- Affiliation：
  School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
HU Aohan
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
- Email：cbachen1997@whu.edu.cn
- Introduction：陈泊安，研究方向为遥感影像智能处理、图神经网络。E-mail： cbachen1997@whu.edu.cn
CHEN Boan
1 * ,
- Affiliation：
  Beijing Institute of Remote Sensing Information, Beijing 100192, China
LU Yao
2 * ,
- Affiliation：
  State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China
GE Jiachen
3 *
Vol. 28, Issue 7, Pages: 1760-1770(2024)
DOI：10.11834/jrs.20243301
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